The Statistical Consulting Centre and Melbourne Statistical Consulting Platform are continuing our services and activities. We now provide personal consultations via Zoom video link or telephone. We have conducted many remote consultations successfully and look forward to working with you in this way during the COVID-19 pandemic.
Consulting to Business, Industry & Government
We have experience across a broad range of statistical applications, and we offer help with all aspects of data-based research.
Our consultants have Masters or PhD degrees in statistics. All are accredited with the Statistical Society of Australia (AStat or GStat).
Short courses for professionals, academics and graduate researchers.Specialised and bespoke courses, workshops and seminars.
Professor Ian Gordon - Statistical Society of Australia Service Award 2020
Melbourne Statistical Consulting Platform
Services for University of Melbourne staff and Graduate Researchers from any discipline.
We have expertise in:
- questionnaire design and data collection methods
- study design, for experiments and surveys
- choice of sample size
- data management and verification
- analysis strategies
- modelling of data
- data mining and analytics
- interpretation of analyses and statistical reasoning
- communication of statistical findings, tailored to the audience
- quality graphical presentations
- critical review of quantitative research and reasoning
- statistical software
- expert witness needs
- statistics courses tailored to specific needs
- Statistical software packages including GenStat, Minitab, SPSS and R.
The SCC was formed in 1984 and has continued to build on its reputation across all disciplines. Our aim is to realise the potential and complexities of your data. We deal with real world issues in a practical, robust manner.
Our aims are to:
- Be a focus for the long-standing statistical consulting activities of the School of Mathematics and Statistics;
- Promote the practice of appropriate and informative statistical methods;
- Be a stimulus to relevant teaching in the School of Mathematics and Statistics;
- Provide research problems whose solutions are of immediate practical interest;
- Train advanced students;
- Increase the awareness of the utility of statistical expertise;
- Foster mutually beneficial contacts between the University and the wider community;
- Act as a focus for statistical consultancy within the University.
- Statistical Consulting Centre
- 139 Barry St
The University of Melbourne
Parkville Victoria 3010
- Email Deb
- +61 3 8344 6995
During the COVID-19 Pandemic; we prefer contact through email or by the above "Make an enquiry" button as we continue to provide services and activities.
Transport to The University of Melbourne
Trams are conveniently located on Swanston Street, the Centre encourages sustainable forms of transport.
The University of Melbourne is tram stop number 1 on Swanston Street or Royal Parade stops then walk down on Grattan Street to Barry Street. Opposite University Square park.
Focuses on the statistical needs of physician trainees, and the topics covered in the FRACP examination.
Now an online workshop. Over two mornings.18 & 19 September 2021
Reproducible research through R. Explore R coding with our team to create reproducible research effectively.
September 2021To be scheduled
This very popular course gives a basic understanding of statistical ideas and methods involved in carrying out research using R and R Markdown.
scheduled for November 2021
This course covers the principles and practice of designing experiments, and the analysis of data from them.
To be scheduled3 Day course
Can't find the statistical course that suits you?customised Training
Covers the principles and practice of designing surveys, and the analysis of data from them.
Available as a customised courseCustomised: 3 day course
Do you need to produce graphs of your data, simply and effectively?
As a customised courseCustomised: 1 day Workshop
This course deals with the analysis of categorical data, with emphasis on binary outcomes and commonly used methods.
As a customised courseCustomised: 4 day course
13 and 14 May 2021 - mornings only
The Melbourne Statistical Consulting Platform is delivering a free seminar that discusses the principles of producing graphs to enhance the quality of your thesis. Available only to University of Melbourne GR students and staff.Free to UoM GR students and staff only
Provides students with detailed training in statistical methods as applied to the design and analysis of projects undertaken by postgraduate students, across all disciplines.Academic subject
Critical Thinking With Data is a first year University of Melbourne breadth subject that teaches students to become critical users of data-based evidence.Academic subject
Thinking scientifically is an online breadth subject for second year science students, which includes a substantial component about Thinking with data.Academic Subject
Data fundamentals module is designed to help you navigate this growing landscape and help you become data-literate. from the Employment Fundamentals series: 100% Free, 100% OnlineEmployment Fundamentals series
We run fee-paying courses. Anyone can enrol in these courses, subject to satisfying pre-requisites. Participants In our courses come from the University and from business, industry and government. The course fees depend on the length of the course and the situation of the participant.
We also provide both general and specialist courses for individual organisations. They can be run at the University or in-house. If you are interested in such a course, contact the Director, Professor Ian Gordon , or telephone 8344 6995.
Meet the Statistical Consulting Centre team
During the COVID-19 Pandemic; please contact statistical consultants by email as we continue to provide services and activities.
- Professor Ian Gordon
Phone: 03 8344 6995
- Dr Sandy Clarke-Errey
Consultant "On leave"
- Associate Professor
Phone: 03 8344 6994
- Associate Professor
Phone: 03 8344 4796
- Cameron Patrick
Phone: 03 8344 5295
- Peter Summers
Phone: 03 8344 6995
- Dr Ken Sharpe
Phone: 03 8344 6995
Preparing your data
Data visualisation and exploration
Tables for summary statistics
Effect sizes and confidence intervals
Reporting statistical inference
Graphs for statistical analysis
Tips for using R
Teaching and learning resources
Even though you may not have realized it, you probably have made some statistical statements in your everyday conversation or thinking. Statements like "I sleep for about eight hours per night on average" and "You are more likely to pass the exam if you start preparing earlier" are actually statistical in nature.
What is statistics?
Statistics is a discipline which is concerned with:
- designing experiments and other data collection,
- summarizing information to aid understanding,
- drawing conclusions from data, and
- estimating the present or predicting the future.
The two statements at the beginning illustrate some of these points.
In making predictions, Statistics uses the companion subject of Probability, which models chance mathematically and enables calculations of chance in complicated cases.
Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practise statistical thinking. This is important even if you do not use statistical methods directly.
Statistical Consulting Centre
- SCC Enquiry
- SCC in the Media
- Graduate Researcher Resources
- SCC Courses
- Statistics for Research Workers using SPSS
- Design and Analysis of Surveys
- Statistics for Research Workers using R
- Statistics for Basic Physician Training (FRACP)
- Design and Analysis of Experiments
- Producing Excellent Graphics Simply
- Analysis of Categorial Data
- SCC Customised training
- Course Feedback
- Areas of Expertise
- What is Statistics?
- Useful Links